W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J38473

  • Specialized Area:

    Data Science

  • Job Title:

    Director of Data Science

  • Location:

    New York,NY

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Utilities/ Energy, Real Estate, Oil & Gas

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Job Description

Our client is looking for someone to join their team in a full time capacity as the Director of Data Science. The position is in New York City and the correct candidate will have the following skill set.

  • Experience in a leadership/manager role.
  • End to end data science project/product management & preferably people management with all key soft skills
  • Scoping Media related projects leveraging following skillsStatistics/Econometrics
    • AB Testing/Experiments/Surveys
    • ML/AI
  • Providing relevant direction to our Media partners & potentially to vendors hired by the Media team
  • Well thought out deliverables in timely manner
  • Reviewing team member deliverables/code/presentations as needed
  • Ability to get into the weeds as needed to support team, but this would not be a typical expectation
  • PhD or Masters in Statistics, Mathematics, Economics or similar degree (PhD preferred but not required)
  • 8+ years of experience in end-to-end statistical analysis, data science, and machine learning lifecycles at an enterprise level
  • Experience in the TV/Digital media space a plus
  • Strong understanding of methods in statistical analysis (e.g., data distributions, regression analysis, experimental design, hypothesis testing, etc.)
  • Expertise in exploratory data analysis, data cleaning, data wrangling, feature reduction, and feature engineering
  • Extensive experience with different Data Science methods such as clustering, classification, regression, time series, & optimization
  • Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required)
  • Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow

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Equal Opportunity Employer

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract